Intelligent Image Steganography Framework (Under Development)

Project Status: Phase 1 (Research & Architectural Design)

Overview: > This repository contains the foundational research, architectural diagrams, and proposed hybrid methodology for an adaptive image steganography framework. The goal is to optimize the balance between payload capacity and image distortion using machine learning edge-detection techniques.

Current Documents:

Project_Report.pdf: Detailed analysis of the programmatic approach and system architecture.

Architecture_Presentation.pdf: Slide deck breaking down the data extraction logic.

Next Phase: > Active implementation and model training (Python, ML libraries) is currently underway.